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Senior Machine Learning Engineer Jobs in Arizona

Intel

Sr. Machine Learning Engineer

Phoenix, AZ

$103K - $142K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

Intel

Machine Learning Engineer

Phoenix, AZ · On-site

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

Bespoke Labs

Machine Learning Engineer

Flagstaff, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Tucson, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Arizona

Senior Machine Learning Engineer information

See Arizona salary details

$55.4K

$117.9K

$171K

How much do senior machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for senior machine learning engineer in Arizona is $117,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $133,700.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Arizona? The most popular types of Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Arizona? For Senior Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Senior Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Senior Machine Learning Engineer jobs? Cities in Arizona with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,937 per year, or $56.7 per hour.

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$101K - $139K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company specializing in advanced sensing, AI/ML, and digital engineering solutions. They are seeking a Senior Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems, focusing on developing pipelines and integrating models into production.
Responsibilities:
• Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
• Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
• Integrate models into production systems (APIs, batch pipelines, real-time services)
• Implement model validation, evaluation metrics, and performance monitoring
• Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
• Collaborate with data engineers and domain experts to prepare and validate datasets
• Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
• Troubleshoot model and pipeline issues; perform root cause analysis and optimization
• Contribute to technical documentation, test plans, and operational runbooks
• Participate in design reviews, architecture discussions, and Agile development processes
• Mentor junior engineers and promote engineering best practices
Qualifications:
Required:
• U.S. Citizenship
• Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 4+ years of experience in: Machine Learning Engineering, Applied AI/ML development, Production ML systems
• Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Experience developing, training, and deploying ML models in real-world applications
• Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
• Experience building maintainable, production-quality software
• Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
• Experience working in Agile and CI/CD environments
• Strong problem-solving, communication, and collaboration skills
Preferred:
• Master’s degree in a related field
• Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
• Experience transitioning models from research to production environments
• Familiarity with experiment tracking, model versioning, and reproducibility practices
• Experience with GPU-based ML workflows and cloud ML platforms
• Background in defense, intelligence, or other regulated environments
Company:
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems. Founded in 2007, the company is headquartered in Goodyear, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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